{
 "cells": [
  {
   "cell_type": "code",
   "execution_count": 1,
   "id": "bd0633c5",
   "metadata": {},
   "outputs": [],
   "source": [
    "import pandas as pd\n",
    "import seaborn as sb\n",
    "import matplotlib.pyplot as plt"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "7fafa1f8",
   "metadata": {},
   "source": [
    "**TODO: Update with correct information.**\n",
    "\n",
    "We performed 2 test experiments:\n",
    "- test1 \n",
    "    - CTR+ (A01)\n",
    "    - CTR- (A02)\n",
    "    - dilution 1:10^5 (A03)\n",
    "- test2 \n",
    "    - CTR+ (A01)\n",
    "    - CTR- (A02)\n",
    "    - CTR-scramble1 treat1 (A03)\n",
    "    - CTR-scramble2 treat2 (B01)\n",
    "    - hEvolvR treat1 (B02)\n",
    "    - hEvolvR treat2 (B03)"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "3b78e06a-7048-414a-9c9f-62be0451bffe",
   "metadata": {
    "jp-MarkdownHeadingCollapsed": true,
    "tags": []
   },
   "source": [
    "## Load and normalize data"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 53,
   "id": "f2697d3b-503f-4e30-86e0-d20dd759c33c",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Index(['Plate ID', 'Well Name', 'MEASUREMENT SET ID',\n",
      "       'Cell: ObjectID (Arosio)', 'Cell: Big Clusters Count_Sum (Arosio)',\n",
      "       'Cell: Big Clusters Area_Average (Arosio)',\n",
      "       'Cell: Big Clusters Green Average Intensity_Average (Arosio)'],\n",
      "      dtype='object')\n",
      "Index(['Plate ID', 'Well Name', 'MEASUREMENT SET ID',\n",
      "       'Cell: ObjectID (Arosio)', 'Cell: Small Clusters Count_Sum (Arosio)',\n",
      "       'Cell: Small Cluster Area_Average (Arosio)',\n",
      "       'Cell: Small Clusters Green Average Intensity_Average (Arosio)'],\n",
      "      dtype='object')\n",
      "Index(['Plate ID', 'Well Name', 'MEASUREMENT SET ID',\n",
      "       'Cell: ObjectID (Arosio)', 'Cell: Cells Count_Sum (Arosio)',\n",
      "       'Cell: Cells Area_Average (Arosio)',\n",
      "       'Cell: Cells Green Average Intensity_Average (Arosio)'],\n",
      "      dtype='object')\n"
     ]
    }
   ],
   "source": [
    "bc = pd.read_table(\"./220617/[ ID_23352 ] Arosio Big Cluster_SpikeTest3.txt\")\n",
    "sc = pd.read_table(\"./220617/[ ID_23357 ] Arosio Small Cluster_SpikeTest3.txt\")\n",
    "c = pd.read_table(\"./220617/[ ID_23356 ] Arosio Cells_SpikeTest3.txt\")\n",
    "\n",
    "print(bc.columns)\n",
    "print(sc.columns)\n",
    "print(c.columns)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 55,
   "id": "d6c897cd-2cf0-44ea-8ad7-25a640ade61b",
   "metadata": {},
   "outputs": [
    {
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       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>Plate ID</th>\n",
       "      <th>Well Name</th>\n",
       "      <th>MEASUREMENT SET ID</th>\n",
       "      <th>Cell: ObjectID (Arosio)</th>\n",
       "      <th>Cell: Big Clusters Count_Sum (Arosio)</th>\n",
       "      <th>Cell: Big Clusters Area_Average (Arosio)</th>\n",
       "      <th>Cell: Big Clusters Green Average Intensity_Average (Arosio)</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>13098</td>\n",
       "      <td>A01</td>\n",
       "      <td>23352</td>\n",
       "      <td>1.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>8812.0</td>\n",
       "      <td>938.629333</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>13098</td>\n",
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       "      <td>116821.0</td>\n",
       "      <td>813.279724</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>13098</td>\n",
       "      <td>A01</td>\n",
       "      <td>23352</td>\n",
       "      <td>1.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>29865.0</td>\n",
       "      <td>799.443054</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>13098</td>\n",
       "      <td>A01</td>\n",
       "      <td>23352</td>\n",
       "      <td>2.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>8945.0</td>\n",
       "      <td>899.276794</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>13098</td>\n",
       "      <td>A01</td>\n",
       "      <td>23352</td>\n",
       "      <td>1.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>44012.0</td>\n",
       "      <td>809.692810</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "   Plate ID Well Name  MEASUREMENT SET ID  Cell: ObjectID (Arosio)  \\\n",
       "0     13098       A01               23352                      1.0   \n",
       "1     13098       A01               23352                      1.0   \n",
       "2     13098       A01               23352                      1.0   \n",
       "3     13098       A01               23352                      2.0   \n",
       "4     13098       A01               23352                      1.0   \n",
       "\n",
       "   Cell: Big Clusters Count_Sum (Arosio)  \\\n",
       "0                                    1.0   \n",
       "1                                    1.0   \n",
       "2                                    1.0   \n",
       "3                                    1.0   \n",
       "4                                    1.0   \n",
       "\n",
       "   Cell: Big Clusters Area_Average (Arosio)  \\\n",
       "0                                    8812.0   \n",
       "1                                  116821.0   \n",
       "2                                   29865.0   \n",
       "3                                    8945.0   \n",
       "4                                   44012.0   \n",
       "\n",
       "   Cell: Big Clusters Green Average Intensity_Average (Arosio)  \n",
       "0                                         938.629333            \n",
       "1                                         813.279724            \n",
       "2                                         799.443054            \n",
       "3                                         899.276794            \n",
       "4                                         809.692810            "
      ]
     },
     "execution_count": 55,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "bc.head()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 56,
   "id": "cc05424d-729a-438d-96a1-a127028a56ce",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "([13098], [23352], ['A01', 'A02', 'A03', 'B01', 'B02'])\n",
      "([13098], [23357], ['A01', 'A02', 'A03', 'B01', 'B02'])\n",
      "([13098], [23356], ['A01', 'A02', 'A03', 'B01', 'B02'])\n"
     ]
    },
    {
     "data": {
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       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>well_name</th>\n",
       "      <th>object_ID</th>\n",
       "      <th>count_sum</th>\n",
       "      <th>area</th>\n",
       "      <th>green</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>A01</td>\n",
       "      <td>1.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>8812.0</td>\n",
       "      <td>938.629333</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>A01</td>\n",
       "      <td>1.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>116821.0</td>\n",
       "      <td>813.279724</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>A01</td>\n",
       "      <td>1.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>29865.0</td>\n",
       "      <td>799.443054</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>A01</td>\n",
       "      <td>2.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>8945.0</td>\n",
       "      <td>899.276794</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>A01</td>\n",
       "      <td>1.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>44012.0</td>\n",
       "      <td>809.692810</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "  well_name  object_ID  count_sum      area       green\n",
       "0       A01        1.0        1.0    8812.0  938.629333\n",
       "1       A01        1.0        1.0  116821.0  813.279724\n",
       "2       A01        1.0        1.0   29865.0  799.443054\n",
       "3       A01        2.0        1.0    8945.0  899.276794\n",
       "4       A01        1.0        1.0   44012.0  809.692810"
      ]
     },
     "execution_count": 56,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "def norm(df):\n",
    "    try:\n",
    "        df.columns = ['plate', 'well_name', 'set_id', 'object_ID', \n",
    "                      'count_sum', 'area', 'green']\n",
    "        plate = list(df[\"plate\"].unique())\n",
    "        set_id = list(df[\"set_id\"].unique())\n",
    "        well_name = list(df[\"well_name\"].unique())\n",
    "        df.drop(df.columns[[0, 2]], axis=1, inplace=True)\n",
    "        return plate, set_id, well_name\n",
    "    except:\n",
    "        raise Warning(\"DataFrame already normalized\", )\n",
    "print(norm(bc))\n",
    "print(norm(sc))\n",
    "print(norm(c))\n",
    "bc.head()"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "77fe10a0-847f-4faf-8e3e-d3ec4698e6dc",
   "metadata": {},
   "source": [
    "## The total counts"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 100,
   "id": "9a952ea1-192c-4f4c-8ee2-ecaa432cb941",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
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       "\n",
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       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>Single cells</th>\n",
       "      <th>Small cluster</th>\n",
       "      <th>Big cluster</th>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>well_name</th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>A01</th>\n",
       "      <td>64420</td>\n",
       "      <td>267</td>\n",
       "      <td>17</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>A02</th>\n",
       "      <td>31713</td>\n",
       "      <td>1212</td>\n",
       "      <td>4</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>A03</th>\n",
       "      <td>31339</td>\n",
       "      <td>579</td>\n",
       "      <td>8</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>B01</th>\n",
       "      <td>35907</td>\n",
       "      <td>4291</td>\n",
       "      <td>15</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>B02</th>\n",
       "      <td>63666</td>\n",
       "      <td>4772</td>\n",
       "      <td>16</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "           Single cells  Small cluster  Big cluster\n",
       "well_name                                          \n",
       "A01               64420            267           17\n",
       "A02               31713           1212            4\n",
       "A03               31339            579            8\n",
       "B01               35907           4291           15\n",
       "B02               63666           4772           16"
      ]
     },
     "execution_count": 100,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "nbc = bc.groupby(\"well_name\")[\"area\"].count()\n",
    "nsc = sc.groupby(\"well_name\")[\"area\"].count()\n",
    "nc = c.groupby(\"well_name\")[\"area\"].count()\n",
    "\n",
    "pd.DataFrame(nc.rename(\"Single cells\")).merge(nsc.rename(\"Small cluster\"), \n",
    "                                              left_index=True, right_index=True).merge(nbc.rename(\"Big cluster\"), left_index=True, right_index=True,)"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "7ddcb3b2",
   "metadata": {},
   "source": [
    "Ecco i risultati con il primo metodo di clusterizzazione\n",
    "Ho provato ad aumentare il size cellulare da 400µm2 ad 800µm2 e di conseguenza gli small clusters sono tra 800 e 8000, con i big cluster >8000.\n",
    ">Ho applicato il nuovo sizing ad entrambi gli esperimenti.\n"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "ef868f1b-9fa5-4f1d-b1b0-1867c3b8c926",
   "metadata": {},
   "source": [
    "## Big clusters"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 98,
   "id": "d0eda200",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<AxesSubplot:xlabel='well_name', ylabel='green'>"
      ]
     },
     "execution_count": 98,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "sb.boxenplot(y='green', \n",
    "             x='well_name', data=bc, hue='object_ID')"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "54228a92-fc21-465a-b42b-24b616bdc079",
   "metadata": {},
   "source": [
    "## Small clusters"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 99,
   "id": "ce72872e",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<AxesSubplot:xlabel='well_name', ylabel='green'>"
      ]
     },
     "execution_count": 99,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "sb.boxenplot(y='green', x='well_name', data=sc, )"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 105,
   "id": "d8151840",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>well_name</th>\n",
       "      <th>object_ID</th>\n",
       "      <th>count_sum</th>\n",
       "      <th>area</th>\n",
       "      <th>green</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>622</th>\n",
       "      <td>A02</td>\n",
       "      <td>3.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>3071.0</td>\n",
       "      <td>6504.530273</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>623</th>\n",
       "      <td>A02</td>\n",
       "      <td>4.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>2686.0</td>\n",
       "      <td>6500.688477</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1186</th>\n",
       "      <td>A02</td>\n",
       "      <td>1.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>1014.0</td>\n",
       "      <td>6016.974609</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1268</th>\n",
       "      <td>A02</td>\n",
       "      <td>1.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>5082.0</td>\n",
       "      <td>10465.741211</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1346</th>\n",
       "      <td>A02</td>\n",
       "      <td>2.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>2547.0</td>\n",
       "      <td>7104.483887</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>9159</th>\n",
       "      <td>B02</td>\n",
       "      <td>7.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>1078.0</td>\n",
       "      <td>13170.574219</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>10156</th>\n",
       "      <td>B02</td>\n",
       "      <td>3.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>983.0</td>\n",
       "      <td>7135.930176</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "      well_name  object_ID  count_sum    area         green\n",
       "622         A02        3.0        1.0  3071.0   6504.530273\n",
       "623         A02        4.0        1.0  2686.0   6500.688477\n",
       "1186        A02        1.0        1.0  1014.0   6016.974609\n",
       "1268        A02        1.0        1.0  5082.0  10465.741211\n",
       "1346        A02        2.0        1.0  2547.0   7104.483887\n",
       "9159        B02        7.0        1.0  1078.0  13170.574219\n",
       "10156       B02        3.0        1.0   983.0   7135.930176"
      ]
     },
     "execution_count": 105,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "sc[sc[\"green\"]>6000]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 106,
   "id": "b47cefb7",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<AxesSubplot:xlabel='well_name', ylabel='green'>"
      ]
     },
     "execution_count": 106,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "sb.boxenplot(y='green', \n",
    "             x='well_name', \n",
    "             data=c)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 114,
   "id": "7cb52a98",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\t Big clusters\n"
     ]
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 1080x216 with 5 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "g = sb.FacetGrid(data=bc, col=\"well_name\")\n",
    "g.map(sb.scatterplot, 'object_ID', 'green')\n",
    "print(\"\\t Big clusters\")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 115,
   "id": "6f4fff12",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\t Small clusters\n"
     ]
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 1080x216 with 5 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "g = sb.FacetGrid(data=sc, col=\"well_name\")\n",
    "g.map(sb.scatterplot, 'object_ID', 'green')\n",
    "print(\"\\t Small clusters\")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 117,
   "id": "77f4d03b",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\t Single cells\n"
     ]
    },
    {
     "data": {
      "image/png": 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      "text/plain": [
       "<Figure size 1800x360 with 5 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "sb.displot(data=c, \n",
    "           col=\"well_name\",\n",
    "           x='object_ID',\n",
    "           y='green')\n",
    "print(\"\\t Single cells\")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 125,
   "id": "dbe2d40e-75b4-4b52-ae0b-f8ed4f66e549",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<seaborn.axisgrid.FacetGrid at 0x7f05b412add0>"
      ]
     },
     "execution_count": 125,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 1080x216 with 5 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 1080x216 with 5 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 1080x216 with 5 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "g = sb.FacetGrid(data=sc, col=\"well_name\")\n",
    "g.map(sb.scatterplot, 'area', 'green')\n",
    "\n",
    "g = sb.FacetGrid(data=bc, col=\"well_name\")\n",
    "g.map(sb.scatterplot, 'area', 'green')\n",
    "\n",
    "g = sb.FacetGrid(data=c, col=\"well_name\")\n",
    "g.map(sb.scatterplot, 'area', 'green')"
   ]
  }
 ],
 "metadata": {
  "kernelspec": {
   "display_name": "datacode",
   "language": "python",
   "name": "datacode"
  },
  "language_info": {
   "codemirror_mode": {
    "name": "ipython",
    "version": 3
   },
   "file_extension": ".py",
   "mimetype": "text/x-python",
   "name": "python",
   "nbconvert_exporter": "python",
   "pygments_lexer": "ipython3",
   "version": "3.10.5"
  }
 },
 "nbformat": 4,
 "nbformat_minor": 5
}